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Published in: Neurological Sciences 9/2022

Open Access 17-05-2022 | Stroke | Original Article

Elevated troponin I levels on admission predict long-term mortality in patients with acute cerebral infarction following thrombolysis

Authors: Yuehong Huang, Yanqi Shao, Yiqi Wang, Tianming Shi

Published in: Neurological Sciences | Issue 9/2022

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Abstract

Background/objective

Cardiac diseases are frequently accompanied by elevated levels of biomarkers, among which, troponin is commonly investigated. The levels of plasma cardiac troponin I (cTnI), which has been shown to predict short-term mortality, are elevated in patients with acute cerebral infarction (ACI). However, few studies have assessed the association between cTnI concentration and long-term mortality in patients with ACI following thrombolysis.

Methods

Patients with ACI admitted between January 1, 2014, and December 31, 2016, were registered. Data on demographics and outcomes with elevated cTnI levels were also collected.

Results

A total of 145 patients with ACI were recruited; 97 (66%), 30 (20%), and 18 (12%) patients had cTnI concentrations < 0.030 (group 1), 0.030–0.10 (group 2), and > 0.10 μg/L (group 3), respectively. cTnI elevation was associated with older age, atrial fibrillation, congestive heart failure, renal insufficiency, coronary artery disease, stroke severity (National Institutes of Health Stroke Scale score), and prior smoking history at admission. After adjusting for comorbidities and severity at 3 months after ACI, cTnI elevation on admission was significantly associated with ascending 5-year mortality (hazard ratio, 1.80; 95% confidence interval, 1.22–2.65).

Conclusions

Even after adjusting for several possible confounders, cTnI elevation in patients with ACI treated with rt-PA was associated with a 1.80-fold increased risk of 5-year mortality.
Literature
Metadata
Title
Elevated troponin I levels on admission predict long-term mortality in patients with acute cerebral infarction following thrombolysis
Authors
Yuehong Huang
Yanqi Shao
Yiqi Wang
Tianming Shi
Publication date
17-05-2022
Publisher
Springer International Publishing
Keyword
Stroke
Published in
Neurological Sciences / Issue 9/2022
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-022-06116-6

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